Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

Bayesian modelling of DNA methylation heterogeneity at single-cell resolution

Core Functionality for Simulating Quantities of Interest from Generalised Linear Models

Norm Constrained Generalised Linear Model using numpy, numba and scipy.

R scripts and data sets to reproduce the results in the paper "Accounting for shared covariates in semi-parametric Bayesian additive regression trees". The Annals of Applied Statistics (to appear).

This repo implements core ML algorithms: Decision Trees, Discriminative Linear Models (DLMs), Generalized Linear Models (GLMs), SVMs, Neural Networks (MLP), plus Unsupervised Learning (clustering, anomaly detection, recommendation systems) and Reinforcement Learning.

The project can be split into different sub-projects (easy-medium difficulty: meta-analysis of COVID vaccines; medium-high difficulty: estimating excess mortality due to COVID). Requires skills in R and will require some learning on Bayesian modelling.

R package hosted on CRAN: Generalised linear models calculated by splitting data into smaller chunks (Author: Thomas Lumley)

This is a learning project to understand Generalised Linear Models (GLM) such as logistic regression using Python.

Experiments for Binarsity: a penalization for one-hot encoded features

The project can be split into different sub-projects (easy difficulty: replication of the published meta-analysis for evidence of gender bias in hiring decisions; medium for newer modelling). Requires skills in R and will require some learning on Bayesian modelling.

PGR generalised linear modelling course

Data analysis of Air BnB data in Barcelona and London using a subset of data investigated by Gyódi, K., & Nawaro, Ł. Generalised Linear Models have been fitted to examine weekend price differences and how price changes between the two cities.

Modeling Mortgage Customer Retention with Binary Logistic Regression

All of my R code from the Advanced Statistical Modelling III module at Durham University

my second year poster for the Graduate School Poster Day 2016

An analysis of English Premier League clean sheet outcomes using a Binomial Generalised Linear Model to understand which match statistics most strongly influence defensive success.

Data and R code accompanying article 10.3354/meps14261 in Marine Ecology Progress Series.